Impacts of dynamic inspection records on port state control efficiency using Bayesian network analysis

被引:0
作者
Fan, Lixian [1 ]
Zhang, Meng [1 ]
Yin, Jingbo [2 ]
Zhang, Jinfen [3 ]
机构
[1] School of Management, Shanghai University, 99 Shangda RD., Shanghai,200444, China
[2] State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD., Shanghai,200240, China
[3] National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, No. 1040, Heping Avenue, Wuhan,430063, China
关键词
Bayesia n networks - Control efficiency - Defect levels - Dynamic inspection - Inspection effectiveness - Inspection records - Port state controls - Risk levels - Ship accidents - Shipping transportation;
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摘要
The risk level of shipping transportation is important as it will cause enormous losses once an accident occurs. This study focuses on the effect of Port State Control as which is gradually becoming an important defence for maritime safety. It employs the Exploratory Factor Analysis to analyse the 17 deficiency items obtained from the Tokyo Memorandum of Understandings (MoU) and extracts three hidden variables representing different ship defect levels. The Bayesian network method is then adopted to establish the ship accident model considering the dynamic ship defect levels. After credibility and sensitivity tests of the model, the estimated results verify the dynamics of the three defect level variables and their effects on ship accident. Specifically, high levels of safety and labour condition related defects significantly increase the accident rate, and both of them are noticeably influenced by historical inspection records as well. It also discloses the improvement of defect levels for ships that have been detained in the first inspection. So, specific and diversified designation of the detain policy accordingly would be more effective in improving ship safety. These provide references for port authorities to optimize the inspection process and ultimately improve ship quality and prevent maritime accidents. © 2022 Elsevier Ltd
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